Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15EB1532150C5BF3B51A353C4DBA29F7AFBD90108D263850AC1F1C60F9FD9E61C932A66 |
|
CONTENT
ssdeep
|
48:kfm1Z4xTWCZP70rMLG2owrXk2aqfKZcwkejptfWNRaDeb8e6w62iYGbVUsV6PiAM:aN6iAJt4j1wONRa7XrHYepV6kHYJ+V |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ccb3266c2e33c3ca |
|
VISUAL
aHash
|
003c7c1818181818 |
|
VISUAL
dHash
|
71f0d0f022b2b2a2 |
|
VISUAL
wHash
|
bc7e7e3c38183838 |
|
VISUAL
colorHash
|
30048008000 |
|
VISUAL
cropResistant
|
b9b030d032327171,e64a595168515959,8080c0c161787c3c,28283c31888e87cd,71f0d0f022b2b2a2 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 16 techniques to evade detection by security scanners and make reverse engineering more difficult.